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A novel strategy for sparse attack detection and localization in secure state estimation of power systems

Electric Power Systems Research 2025年 248卷

作者： Marzieh Samimiat Ali-Akbar Ahmadi Abolfazl Nateghi Manoochehr Kelarestaghi Industrial Automation laboratory Electrical and Computer Engineering Department Kharazmi University Tehran Iran Electrical and Computer Engineering Department Faculty of Engineering Kharazmi University Tehran Iran

In this paper, problem of secure state estimation in power systems in the presence of sparse attack is investigated. Using secure measurements technique for the first time, the required secure measurements are determined for each sparse attack. In the proposed scheme, it is not necessary that all measurements be encoded or transmitted in a dedicated communication channels such as fiber optic links. Therefore, implementation of it is cost-effective. Using the secure measurements technique, modified measurement Jacobian matrices are obtained and then modified residual vectors are designed. The residual vectors are designed such that only one detector is reacted to the specific sparse attack, so attacks are localized. The design procedure is based on a simple search which can be done easily and in a fast manner even for the large power systems. Due to the fact that the exact location of the attack in the power system is identified (measurements under the sparse attack), an algorithm is proposed that obtains the correct state estimation. The simulation results on the IEEE-14 bus power system are presented to show the effectiveness of the proposed scheme.

关键词： bad data detection algorithms Consistent set detection and localization Minimum sparse attack Similar sparse attack set

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